Kaiord MCP Server

Kaiord — Open-Source Health & Fitness Data Framework

kaiord.com | Editor | npm

Kaiord is an open-source framework for creating, converting, and managing health & fitness data.

It provides:

• @kaiord/core: a TypeScript library with format adapters for .fit, .tcx, .zwo, and .krd (Kaiord) files, plus Garmin Connect API integration.
• @kaiord/cli: a command-line tool to convert, validate, and compare files across formats.
• @kaiord/mcp: an MCP server exposing Kaiord tools to AI agents (Claude Desktop, Claude Code, etc.). Published in the official MCP registry as io.github.pablo-albaladejo/kaiord.
• Workout Editor: a web application to create and edit workout files visually.

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✨ Features

• Visual Workout Editor - Create and edit workouts in your browser
• Unified JSON-based format .krd (Kaiord Representation Definition)
• Schema validation (Zod)
• Round-trip safe conversions between FIT / TCX / ZWO / GCN / KRD
• Hexagonal architecture & fully typed API

Supported FIT Fields

Workout Metadata

• Sub-sport categorization: Detailed sport types (trail running, indoor cycling, lap swimming, etc.)
• Pool dimensions: Pool length and unit for swimming workouts

Workout Steps

• Coaching notes: Instructional text for each step (max 256 characters)
• Swimming equipment: Fins, kickboard, paddles, pull buoy, snorkel

Duration Types

• Time & distance: Standard interval durations
• Calorie-based: Steps ending after burning specified calories
• Power-based: Steps ending based on power thresholds (watts)
• Heart rate conditionals: Steps ending based on HR thresholds (bpm)
• Repeat conditionals: Repeat blocks until time/distance/calories/HR/power targets reached

Known Limitations

• Training Stress Score (TSS): The training_peaks_tss duration type is not yet implemented in the FIT converter. This is a TrainingPeaks-specific metric that requires additional mapping logic. Contributions welcome!

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📚 Documentation

Comprehensive documentation is available in the /docs directory:

• Getting Started - Installation, basic usage, and quick examples for both library and CLI
• Architecture - Hexagonal architecture, ports & adapters pattern, and design principles
• Testing - Testing strategy, TDD workflow, and coverage requirements
• Deployment - CI/CD pipeline, GitHub Pages deployment, and npm publishing
• Contributing - Contribution guidelines, development workflow, and code standards
• KRD Format - Complete specification of the Kaiord Representation Definition format
• AI Agents - Guidance for AI-assisted development

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🧩 Tech Stack

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🏗 Monorepo Layout

kaiord/
├─ packages/
│  ├─ core/                → domain types, schemas, ports & use cases
│  ├─ fit/                 → Garmin FIT format adapter
│  ├─ tcx/                 → Training Center XML adapter
│  ├─ zwo/                 → Zwift ZWO format adapter
│  ├─ garmin/              → Garmin Connect API adapter
│  ├─ cli/                 → command-line interface
│  ├─ mcp/                 → MCP server for AI/LLM integration
│  └─ workout-spa-editor/  → web application (https://kaiord.com/editor/)
├─ docs/   → documentation
├─ LICENSE
├─ README.md
└─ pnpm-workspace.yaml

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🚀 Quick Start

Try the Web App

Launch Workout Editor →

Create and edit workouts visually in your browser. No installation required.

Use the Library

pnpm install
pnpm -r build
pnpm -r test

# Example usage
pnpm kaiord --help

For detailed installation instructions and usage examples, see the Getting Started Guide.

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🚀 CI/CD Pipeline

Kaiord uses GitHub Actions for continuous integration and deployment:

• Automated Testing: Multi-version testing on Node.js 22.x (Maintenance LTS) and 24.x (Active LTS)
• Code Quality: ESLint, Prettier, and TypeScript strict mode validation
• Release Automation: Changesets for version management and npm publishing
• Security: Weekly dependency vulnerability audits, CodeQL static analysis, and automated dependency updates

For complete CI/CD documentation, deployment guides, and npm publishing instructions, see Deployment.

Mechanical invariant guards

Beyond linting, the repo enforces its architecture and conventions with 60+ purpose-built guard scripts under scripts/, each with its own co-located test suite. They run on every commit (husky pre-commit) and in CI (pnpm test:scripts), and cover, among others:

• Hexagonal architecture — layer purity, adapter isolation, and the packages/core/src/ directory allowlist (check-architecture.mjs)
• Package dependency graph — every @kaiord/* dependency must match the spec table (check-package-deps.mjs)
• Test conventions — should -prefixed titles and Arrange/Act/Assert structure on every test (check-test-title-should.mjs, check-test-aaa.mjs)
• Privacy — no runtime values interpolated into toasts or console logs (check-no-pii-leakage.mjs)
• State discipline — no Zustand store writes persistence directly (check-no-zustand-writethrough.mjs)
• Spec hygiene — OpenSpec format, archive dates, and auto-generated indexes stay in sync (check-spec-format.mjs, check-archive-*.mjs)

If a rule matters here, a script enforces it — documentation describes the rules, but the guards are what make them true.

Contributing

To contribute to Kaiord:

1. Fork and clone the repository
2. Create a feature branch: git checkout -b feature/my-feature
3. Make your changes following the code style guidelines
4. Add a changeset: pnpm exec changeset (for version-worthy changes)
5. Test locally: pnpm -r test and pnpm -r build
6. Submit a PR: All checks must pass before merging

For detailed contribution guidelines, development workflow, and code standards, see Contributing.

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📚 References & Resources

Format Specifications

• Garmin FIT SDK (JavaScript) - Official FIT protocol implementation
• FIT Workout Files Cookbook - Guide to encoding workout files
• FIT File Types: Workout - Workout file type specification
• Training Center XML (TCX) - Garmin's XML-based format
• TCX Schema (XSD) - Official Garmin TCX schema definition
• Zwift Workout Format (ZWO) - Zwift's XML-based workout format

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❤️ Support

If you find Kaiord useful, consider supporting its development:

• ⭐ Star this repo to help others discover it
• 💖 Sponsor on GitHub
• ☕ Buy me a coffee

Your support helps maintain and improve Kaiord for the fitness community!

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📜 License

MIT © 2025 Pablo Albaladejo See LICENSE for details.